| Combining federated learning and edge computing toward ubiquitous intelligence in 6G network: Challenges, recent advances, and future directions Q Duan, J Huang, S Hu, R Deng, Z Lu, S Yu IEEE Communications Surveys & Tutorials 25 (4), 2892-2950, 2023 | 76 | 2023 |
| Combined federated and split learning in edge computing for ubiquitous intelligence in internet of things: State-of-the-art and future directions Q Duan, S Hu, R Deng, Z Lu Sensors 22 (16), 5983, 2022 | 73 | 2022 |
| Diplin: a disease risk prediction model based on efficientnetv2 and transfer learning applied to nursing homes F Zhou, S Hu, X Wan, Z Lu, J Wu Electronics 12 (12), 2581, 2023 | 11 | 2023 |
| A lightweight neural network model for disease risk prediction in edge intelligent computing architecture F Zhou, S Hu, X Du, X Wan, J Wu Future Internet 16 (3), 75, 2024 | 10 | 2024 |
| Lidom: a disease risk prediction model based on LightGBM applied to nursing homes F Zhou, S Hu, X Du, X Wan, Z Lu, J Wu Electronics 12 (4), 1009, 2023 | 10 | 2023 |
| Risevi: a disease risk prediction model based on vision transformer applied to nursing homes F Zhou, S Hu, X Wan, Z Lu, J Wu Electronics 12 (15), 3206, 2023 | 9 | 2023 |
| ACSarF: a DRL-based adaptive consortium blockchain sharding framework for supply chain finance S Hu, J Lin, X Du, W Huang, Z Lu, Q Duan, J Wu Digital Communications and Networks, 2023 | 8 | 2023 |
| E-SAWM: A Semantic Analysis-Based ODF Watermarking Algorithm for Edge Cloud Scenarios L Zu, H Li, L Zhang, Z Lu, J Ye, X Zhao, S Hu Future Internet 15 (9), 283, 2023 | 6 | 2023 |
| LAECIPS: large vision model assisted adaptive edge-cloud collaboration for IoT-based perception system S Hu, R Deng, X Du, Z Lu, Q Duan, Y He, SC Huang, J Wu arXiv preprint arXiv:2404.10498, 2024 | 5 | 2024 |
| InvMetrics: Measuring privacy risks for split model–based customer behavior analysis R Deng, S Hu, J Lin, J Yang, Z Lu, J Wu, SC Huang, Q Duan IEEE Transactions on Consumer Electronics, 2024 | 4 | 2024 |
| CoLLaRS: A cloud–edge–terminal collaborative lifelong learning framework for AIoT S Hu, J Lin, Z Lu, X Du, Q Duan, SC Huang Future Generation Computer Systems 158, 447-456, 2024 | 3 | 2024 |
| Motico: an attentional mechanism network model for smart aging disease risk prediction based on image data classification F Zhou, S Hu, X Du, Z Lu Computers in biology and medicine 178, 108763, 2024 | 3 | 2024 |
| Acdim: A Cardiovascular Disease Risk Prediction Model Based on TabNet and AdaBoost for Smart Aging. F Zhou, S Hu, X Du, Z Lu, T Zhou, Y Zhao, H Zhu Electronics (2079-9292) 13 (24), 2024 | 1 | 2024 |
| GRIFFIN: Effective Token Alignment for Faster Speculative Decoding S Hu, J Li, X Xie, Z Lu, KC Toh, P Zhou arXiv preprint arXiv:2502.11018, 2025 | | 2025 |
| Anston: An Attention Mechanism Network Model for Structured Data Classification F Zhou, S Hu, X Du, Z Lu | | 2025 |
| FI-NL2PY2SQL: Financial Industry NL2SQL Innovation Model Based on Python and Large Language Model X Du, S Hu, F Zhou, C Wang, BM Nguyen Future Internet 17 (1), 12, 2025 | | 2025 |
| AMFiD: Attention Mechanism Based Deep Forgery Face Image Detection for Fintech Regulation S Hu, H Guo, J Liu, M Gu, Z Lu, J Yang, Y Deng, Q Duan International Conference on Service Science, 136-150, 2024 | | 2024 |
| An Analysis and Comparison of the Development Status of Green Data Centers in China J Lin, S Hu, Z Lu, R Deng 2023 IEEE 8th International Conference on Smart Cloud (SmartCloud), 130-135, 2023 | | 2023 |
| LoCom: An Efficient Load-Balanced Concurrency Optimization Method for Bulk-Commodity Regulatory Systems H Guo, L Chen, W Huang, J Lin, Z Lu, S Hu, G Zou, D Sha International Conference on Service Science, 490-504, 2023 | | 2023 |
Qiang DuanProfessor of Information Sciences & Technology, the Penn State UniversityPatvirtintas el. paštas psu.edu